Product data usually starts in a spreadsheet for good reasons. It is fast, flexible, and easy for one person to maintain. A small catalog with a few fields does not need a heavy platform on day one.
The problem is that spreadsheets do not announce when they have become infrastructure. They keep working just well enough while the hidden cost grows: more reconciliation, more channel drift, more manual checking, and more uncertainty before every launch.
1. Nobody knows which spreadsheet is current
Version drift is the first clear warning sign. Sales has a file. Marketing has a file. The e-commerce team has an export. Someone keeps a private version because it has the columns they need. Each file is useful in isolation, but none can be trusted as the source of truth.
A PIM does not fix this by being a bigger spreadsheet. It fixes it by assigning ownership, validation, workflow, and publication rules around one product record. The question shifts from "Which file is current?" to "Which state is this product in?"
If your product data and assets need a proper operating model, start with the consulting view before choosing tooling.
PIM and DAM consulting →2. Manual reconciliation has become a weekly job
When teams spend time comparing product titles, descriptions, SKUs, images, certificates, translations, or prices across files, the spreadsheet has stopped being cheap. The cost is now paid in staff attention and launch risk.
Manual reconciliation is especially painful because it rarely creates new value. It only restores confidence that should have existed already. Product information management is useful when it prevents the drift rather than funding a cleanup cycle every week.
3. Every channel has its own spreadsheet
Channel-specific spreadsheets feel practical at first. Amazon needs one format, the website needs another, distributors want a third, and internal sales materials use a fourth. The trap is that each output starts becoming its own data source.
A better model separates core product truth from channel presentation. The product record holds shared attributes and approved content. Channel mappings then transform that source into the required format. That is the difference between managing product data and maintaining exports.
This is the same pattern that makes general spreadsheet operations brittle as teams grow.
Five signs your business has outgrown spreadsheets →4. Product launches slow down because nobody trusts the data
Slow launches are often blamed on coordination, but the deeper issue is usually trust. Before a new product goes live, someone checks whether images match the product, translations are current, regulatory or technical documents are attached, and every channel has the latest attributes.
If that check is mostly manual, every launch carries the same friction. A PIM project should make launch readiness visible: missing fields, approval status, asset completeness, translations, and channel readiness should be part of the system, not a meeting agenda.
5. There is no reliable audit trail
For simple retail catalogs, this may be inconvenient. For documentation-heavy, regulated, or multilingual environments, it becomes a real operating risk. You need to know who changed a field, when it changed, what version was approved, and which downstream channels received it.
Spreadsheets can show some edit history, but they do not provide a clean workflow record across product data, assets, translation, approval, and publication. Once that record matters, a spreadsheet is no longer the right system of record.
If the spreadsheet has already become the system, this guide explains the next step toward a real application.
Spreadsheet to app development →What to do before buying a PIM
Do not start with vendor demos. Start with the product model: product types, attributes, variants, assets, translations, approval states, channel outputs, and ownership. The right PIM depends on how those pieces behave in your operation.
Aiki Labs helps teams make that map before implementation. Sometimes the answer is Pimcore, sometimes a lighter setup, and sometimes a custom internal layer around existing tools. The goal is not to own a PIM. The goal is to stop product data from becoming a recurring operational tax.
For product-data-heavy teams, the fastest useful step is a focused PIM and DAM discovery.
Plan a PIM and DAM project →